Pandas - Series object has no attribute colNames when using apply

Question

I need to use a lambda function to do a row by row computation  For example create some dataframe  import pandas as pd import numpy as np  def myfunc x  y       return x   y  colNames     A    B   data   np array  np arange 10   2  T  df   pd DataFrame data  index  range 0  10    columns colNames    using  myfunc  this does work  df  D      df apply lambda x  myfunc x A  x B   axis 1     but this second case does not work   df  D      df apply lambda x  myfunc x colNames 0   x colNames 1    axis 1     giving the error  AttributeError     Series  object has no attribute  colNames    u occurred at index 0     I really need to use the second case  access the colNames using the list  which gives an error  any clues on how to do this   thanks

User · Accepted Answer

When you use df apply    each row of your DataFrame will be passed to your lambda function as a pandas Series  The frame s columns will then be the index of the series and you can access values using series label    So this should work   df  D      df apply lambda x  myfunc x colNames 0    x colNames 1     axis 1

[python] Pandas - 'Series' object has no attribute 'colNames' when using apply()

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